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Record W4382343971 · doi:10.1002/ca.24085

What's in a name? Is an anatomical term only a name?

2023· review· en· W4382343971 on OpenAlexaff
Paul E. Neumann

Bibliographic record

VenueClinical Anatomy · 2023
Typereview
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTerminologyMedicineTerm (time)AnatomyNomenclatureFasciaMeaning (existential)LinguisticsEpistemologyBiologyPhilosophyZoologyTaxonomy (biology)

Abstract

fetched live from OpenAlex

The purpose of a standard terminology is to facilitate communication. Thus, changing the name of an anatomical structure or the meaning of an anatomical term undermines that aspiration and cuts connections with anatomy's long history. Two types of anatomical terms are the most vulnerable to logical arguments for revision-ones that are descriptive, but viewed, at least by some, as inaccurate, and ones that contain words that are polysemic or vague. A half dozen examples of each type are discussed, including ductus deferens, glandula seminalis, articulationes costochondrales, vulva and fascia. In general, traditional terms should be preserved, but judgments about which terms are traditional should be based on five centuries of modern anatomy, not just the past several decades.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0010.007
Scholarly communication0.0040.011
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.251
GPT teacher head0.509
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractyes

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